JOURNAL ARTICLE

Exceptionally regular tensors and tensor complementarity problems

Yong WangZheng‐Hai HuangXueli Bai

Year: 2016 Journal:   Optimization methods & software Vol: 31 (4)Pages: 815-828   Publisher: Taylor & Francis

Abstract

Recently, many structured tensors are defined and their properties are discussed in the literature. In this paper, we introduce a new class of structured tensors, called exceptionally regular (ER) tensor, which is relevant to the tensor complementarity problem (TCP). We show that this class of tensors is a wide class of tensors which includes many important structured tensors as its special cases. By constructing two examples, we demonstrate that an ER-tensor can be, but not always, an R-tensor. We also show that within the class of the semi-positive tensors, the class of ER-tensors coincides with the class of R-tensors. In particular, we consider the TCP with an ER-tensor and show that its solution set is nonempty and compact. In addition, we also obtain that the solution sets of the TCP with an R-tensor or a -tensor are nonempty and compact.

Keywords:
Tensor (intrinsic definition) Mathematics Tensor product of Hilbert spaces Tensor contraction Tensor density Complementarity (molecular biology) Class (philosophy) Tensor field Weyl tensor Pure mathematics Symmetric tensor Invariants of tensors Exact solutions in general relativity Complementarity theory Tensor product Mathematical analysis Riemann curvature tensor Geometry Computer science Physics Quantum mechanics Artificial intelligence

Metrics

84
Cited By
5.27
FWCI (Field Weighted Citation Impact)
27
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Tensor decomposition and applications
Physical Sciences →  Mathematics →  Computational Mathematics
Advanced Neuroimaging Techniques and Applications
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging

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